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» Learning an image manifold for retrieval
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MM
2005
ACM
171views Multimedia» more  MM 2005»
8 years 10 months ago
Semantic manifold learning for image retrieval
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen
MM
2004
ACM
167views Multimedia» more  MM 2004»
8 years 9 months ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
ICPR
2008
IEEE
8 years 11 months ago
Face image retrieval by using Haar features
We propose a new method to retrieve similar face images from large face databases. The proposed method extracts a set of Haar-like features, and integrates these features with sup...
Bau-Cheng Shen, Chu-Song Chen, Hui-Huang Hsu
MM
2009
ACM
187views Multimedia» more  MM 2009»
8 years 9 months ago
Convex experimental design using manifold structure for image retrieval
Content Based Image Retrieval (CBIR) has become one of the most active research areas in computer science. Relevance feedback is often used in CBIR systems to bridge the semantic ...
Lijun Zhang, Chun Chen, Wei Chen, Jiajun Bu, Deng ...
MM
2006
ACM
203views Multimedia» more  MM 2006»
8 years 10 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
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